Non-parametric Active Learning and Rate Reduction in Many-body Hilbert Space with Rescaled Logarithmic Fidelity.
Wei-Ming LiShi-Ju RanPublished in: CoRR (2021)
Keyphrases
- hilbert space
- active learning
- von neumann
- infinite dimensional
- multivariate time series
- euclidean space
- finite dimensional
- scale spaces
- convex sets
- kernel function
- random sampling
- continuous functions
- human body
- feature maps
- learning algorithm
- scale space
- expected utility
- input space
- visual quality
- labeled data
- kernel principal component analysis
- semi supervised
- training set